
CY Vision is built on the dual technology engine of Machine Vision + Industrial AI, focusing on four core industrial manufacturing scenarios: Positioning & Guidance, Surface Inspection, ID Recognition, and High-Precision Measurement. We provide customizable, standardized, one-stop optomechatronic software and computing vision solutions.
Core Products
Machine Vision Application System
- Micron-level positioning and sub-pixel high-precision measurement
- High-speed inspection for standard barcodes / QR codes and regular defects
- Compatible with VisionPro / Halcon / OpenCV, supports multi-camera and multi-station parallel processing
- Integratable with AI inference system for complex inspection requirements
Industrial AI Training System
- End-to-end full-process AI training platform supporting classification / segmentation / detection / positioning / recognition
- Integrated management of AI annotation, algorithms, training, and models
- Compatible with Nvidia / Apple chips, supports multi-protocol interfaces for production line integration
Industrial AI Inference System
- High-performance deployment with multi-GPU / multi-STREAM / multi-toolchain
- Three deployment modes: thread / process / cloud inference
- Compatible with Nvidia / Apple chips, supports multi-protocol interfaces for production line integration
Industrial AI Defect Generation System
- Industrial-grade defect simulation to solve small-sample / zero-sample challenges
- High-realism generation of cracks, stains, deformations, burrs, and other defects
- Greatly reduces sample collection and project delivery cycles
Industrial AI Monitoring System
- Full-process AI intelligent supervision: personnel, equipment, environment, and operation compliance
- Object detection / tracking, human pose recognition, and real-time anomaly alerts
- Covers safety monitoring, SOP compliance, facility inspection, and line IE analysis
Core Advantages

Dual-Engine Strengths
Machine Vision: High precision, high stability; excels in regular measurement, positioning, and standard recognition
Industrial AI: Strong generalization, anti-interference; excels in complex defects, blurred characters, and dynamic scenarios

Full-Scene Algorithms
Image Classification: Defect grading for whole images; adapts to shape distortion and surface anomalies
Semantic Segmentation: Pixel-level defect localization; adapts to complex backgrounds and varied defects
Anomaly Detection: Trainable with OK samples only; ideal for scarce defect scenarios
Object Detection: Object counting, positioning, and guidance; adapts to complex background recognition
AI-OCR: High-accuracy recognition for blurred / distorted / low-contrast characters

Core Competitiveness
End-to-end toolchain: one-click deployment from training to inference
Small-sample solution: defect generation + unsupervised learning
Industrial-grade performance: speed and accuracy outperform international peers
Multi-technology fusion: 2D / 3D / AI collaboration for full-scenario coverage
Application Scenarios

Traditional Vision
Based on traditional vision, focusing on positioning and guidance for precision manufacturing and assembly. It accurately places components or products and provides precise position data for processing equipment to ensure machining accuracy. It also supports ID recognition, character inspection, measurement, and defect detection.
Industrial AI – Industrial Quality Inspection
For materials (raw materials / semi-finished products / finished products), we provide solutions for defect detection, classification, object positioning / detection, and OCR recognition.
CY Industrial AI is widely used in image-based 2D / 3D surface and defect inspection across industries, especially for unpredictable appearance defects that traditional vision cannot handle: shape changes, surface distortion, complex backgrounds, diverse defect types, and random sizes / positions.


Industrial AI – Production Process
Covering the entire production process (man, machine, method, environment), we deliver monitoring solutions for personnel safety, equipment faults, operation compliance, and environmental safety based on object detection, positioning, tracking, and human pose analysis.
Application Cases



